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Introducing the Outbreak Threshold in Epidemiology
When a pathogen is rare in a host population, there is a chance that it will die out because of stochastic effects instead of causing a major epidemic. Yet no criteria exist to determine when the pathogen increases to a risky level, from which it has a large chance of dying out, to when a major outb...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680036/ https://www.ncbi.nlm.nih.gov/pubmed/23785276 http://dx.doi.org/10.1371/journal.ppat.1003277 |
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author | Hartfield, Matthew Alizon, Samuel |
author_facet | Hartfield, Matthew Alizon, Samuel |
author_sort | Hartfield, Matthew |
collection | PubMed |
description | When a pathogen is rare in a host population, there is a chance that it will die out because of stochastic effects instead of causing a major epidemic. Yet no criteria exist to determine when the pathogen increases to a risky level, from which it has a large chance of dying out, to when a major outbreak is almost certain. We introduce such an outbreak threshold (T(0)), and find that for large and homogeneous host populations, in which the pathogen has a reproductive ratio R(0), on the order of 1/Log(R(0)) infected individuals are needed to prevent stochastic fade-out during the early stages of an epidemic. We also show how this threshold scales with higher heterogeneity and R(0) in the host population. These results have implications for controlling emerging and re-emerging pathogens. |
format | Online Article Text |
id | pubmed-3680036 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36800362013-06-19 Introducing the Outbreak Threshold in Epidemiology Hartfield, Matthew Alizon, Samuel PLoS Pathog Opinion When a pathogen is rare in a host population, there is a chance that it will die out because of stochastic effects instead of causing a major epidemic. Yet no criteria exist to determine when the pathogen increases to a risky level, from which it has a large chance of dying out, to when a major outbreak is almost certain. We introduce such an outbreak threshold (T(0)), and find that for large and homogeneous host populations, in which the pathogen has a reproductive ratio R(0), on the order of 1/Log(R(0)) infected individuals are needed to prevent stochastic fade-out during the early stages of an epidemic. We also show how this threshold scales with higher heterogeneity and R(0) in the host population. These results have implications for controlling emerging and re-emerging pathogens. Public Library of Science 2013-06-06 /pmc/articles/PMC3680036/ /pubmed/23785276 http://dx.doi.org/10.1371/journal.ppat.1003277 Text en © 2013 Hartfield and Alizon http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Opinion Hartfield, Matthew Alizon, Samuel Introducing the Outbreak Threshold in Epidemiology |
title | Introducing the Outbreak Threshold in Epidemiology |
title_full | Introducing the Outbreak Threshold in Epidemiology |
title_fullStr | Introducing the Outbreak Threshold in Epidemiology |
title_full_unstemmed | Introducing the Outbreak Threshold in Epidemiology |
title_short | Introducing the Outbreak Threshold in Epidemiology |
title_sort | introducing the outbreak threshold in epidemiology |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680036/ https://www.ncbi.nlm.nih.gov/pubmed/23785276 http://dx.doi.org/10.1371/journal.ppat.1003277 |
work_keys_str_mv | AT hartfieldmatthew introducingtheoutbreakthresholdinepidemiology AT alizonsamuel introducingtheoutbreakthresholdinepidemiology |